Python 2.7.16 |Anaconda, Inc.| (default, Sep 24 2019, 16:55:38)
Type "copyright", "credits" or "license" for more information.
IPython 5.8.0 -- An enhanced Interactive Python.
? -> Introduction and overview of IPython's features.
%quickref -> Quick reference.
help -> Python's own help system.
object? -> Details about 'object', use 'object??' for extra details.
In [1]: runfile('/Users/lester/Documents/GitHub/kelly_model/scenario29/update_GBeagle_fix/true_constant_alpha/mass_sfr_z_correction/alpha_beta_covprop/random_start_gmm/random_start/bad_gmm_cuts/kelly_MH_GMM_3d_Hogg_constant_beta_constant_alpha.py', wdir='/Users/lester/Documents/GitHub/kelly_model/scenario29/update_GBeagle_fix/true_constant_alpha/mass_sfr_z_correction/alpha_beta_covprop/random_start_gmm/random_start/bad_gmm_cuts')
437
437
task_manager
task_manager
task_manager
initial_guess
initial_guess
initial_guess
task_manager
initial_guess
run_mcmc
_initialize_chains
_step
_get_Rhat
_get_psi
INITIAL GUESSES 0.6554340839879895 0.0 0.8955868713409185 0.0 0.3572803298734812 1.0 0.264397905759 -0.27804051243379424 3.2405801223671085
step
INITIAL GUESSES 0.657915303219804 0.0 0.855026956530813 0.0 0.37848617905213405 1.0 0.248704663212 -0.34408270964053767 2.9885835521339335
step
INITIAL GUESSES 0.5559266031000294 0.0 0.7774719783203075 0.0 0.3538692328768795 1.0 0.302872062663 -0.07792234450509025 2.1834376504787927
step
INITIAL GUESSES 0.7876727036245903 0.0 0.9208192787293724 0.0 0.29791699198508603 1.0 0.385604113111 -0.2554618740407619 2.9478729119862987
step
eta acceptanceProb 0 0 160 -925.838119536372 -6.836199619039424 0.0
zeta acceptanceProb 0 0 151 -1790.1192442511065 5.015986577068187 0.0
zeta acceptanceProb 0 0 151 -4420.2308931384505 3.9876845843522046 0.0
0
0
0
/Users/lester/Documents/GitHub/kelly_model/scenario29/update_GBeagle_fix/true_constant_alpha/mass_sfr_z_correction/alpha_beta_covprop/random_start_gmm/random_start/bad_gmm_cuts/kelly_MH_GMM_3d_Hogg_constant_beta_constant_alpha.py:597: RuntimeWarning: divide by zero encountered in log10
scatter1 = ax1.scatter(self.xi[idx_z_bin][idx_sort], self.eta[idx_z_bin][idx_sort], c=np.log10((z_good/z_bad)[idx_sort]), cmap=mpl.cm.get_cmap('coolwarm'), alpha=1.0, vmin=-2.5, vmax=2.5, s=100)
0
/opt/anaconda2/lib/python2.7/site-packages/matplotlib/cbook/deprecation.py:107: MatplotlibDeprecationWarning: Passing one of 'on', 'true', 'off', 'false' as a boolean is deprecated; use an actual boolean (True/False) instead.
warnings.warn(message, mplDeprecation, stacklevel=1)
/Users/lester/Documents/GitHub/kelly_model/scenario29/update_GBeagle_fix/true_constant_alpha/mass_sfr_z_correction/alpha_beta_covprop/random_start_gmm/random_start/bad_gmm_cuts/kelly_MH_GMM_3d_Hogg_constant_beta_constant_alpha.py:597: RuntimeWarning: divide by zero encountered in log10
scatter1 = ax1.scatter(self.xi[idx_z_bin][idx_sort], self.eta[idx_z_bin][idx_sort], c=np.log10((z_good/z_bad)[idx_sort]), cmap=mpl.cm.get_cmap('coolwarm'), alpha=1.0, vmin=-2.5, vmax=2.5, s=100)
/opt/anaconda2/lib/python2.7/site-packages/matplotlib/cbook/deprecation.py:107: MatplotlibDeprecationWarning: Passing one of 'on', 'true', 'off', 'false' as a boolean is deprecated; use an actual boolean (True/False) instead.
warnings.warn(message, mplDeprecation, stacklevel=1)
/opt/anaconda2/lib/python2.7/site-packages/matplotlib/cbook/deprecation.py:107: MatplotlibDeprecationWarning: Passing one of 'on', 'true', 'off', 'false' as a boolean is deprecated; use an actual boolean (True/False) instead.
warnings.warn(message, mplDeprecation, stacklevel=1)
/opt/anaconda2/lib/python2.7/site-packages/matplotlib/cbook/deprecation.py:107: MatplotlibDeprecationWarning: Passing one of 'on', 'true', 'off', 'false' as a boolean is deprecated; use an actual boolean (True/False) instead.
warnings.warn(message, mplDeprecation, stacklevel=1)
/Users/lester/Documents/GitHub/kelly_model/scenario29/update_GBeagle_fix/true_constant_alpha/mass_sfr_z_correction/alpha_beta_covprop/random_start_gmm/random_start/bad_gmm_cuts/kelly_MH_GMM_3d_Hogg_constant_beta_constant_alpha.py:646: RuntimeWarning: divide by zero encountered in log10
scatter2 = ax2.scatter(self.xi[idx_z_bin][idx_sort], self.eta[idx_z_bin][idx_sort], c=np.log10((z_good/z_bad)[idx_sort]), cmap=mpl.cm.get_cmap('coolwarm'), alpha=1.0, vmin=-2.5, vmax=2.5, s=100)
/Users/lester/Documents/GitHub/kelly_model/scenario29/update_GBeagle_fix/true_constant_alpha/mass_sfr_z_correction/alpha_beta_covprop/random_start_gmm/random_start/bad_gmm_cuts/kelly_MH_GMM_3d_Hogg_constant_beta_constant_alpha.py:646: RuntimeWarning: divide by zero encountered in log10
scatter2 = ax2.scatter(self.xi[idx_z_bin][idx_sort], self.eta[idx_z_bin][idx_sort], c=np.log10((z_good/z_bad)[idx_sort]), cmap=mpl.cm.get_cmap('coolwarm'), alpha=1.0, vmin=-2.5, vmax=2.5, s=100)
Traceback (most recent call last):
File "/opt/anaconda2/lib/python2.7/site-packages/IPython/core/formatters.py", line 334, in __call__
return printer(obj)
File "/opt/anaconda2/lib/python2.7/site-packages/IPython/core/pylabtools.py", line 247, in <lambda>
png_formatter.for_type(Figure, lambda fig: print_figure(fig, 'png', **kwargs))
File "/opt/anaconda2/lib/python2.7/site-packages/IPython/core/pylabtools.py", line 131, in print_figure
fig.canvas.print_figure(bytes_io, **kw)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/backend_bases.py", line 2212, in print_figure
**kwargs)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/backends/backend_agg.py", line 517, in print_png
FigureCanvasAgg.draw(self)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/backends/backend_agg.py", line 437, in draw
self.figure.draw(self.renderer)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/artist.py", line 55, in draw_wrapper
return draw(artist, renderer, *args, **kwargs)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/figure.py", line 1493, in draw
renderer, self, artists, self.suppressComposite)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/image.py", line 141, in _draw_list_compositing_images
a.draw(renderer)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/artist.py", line 55, in draw_wrapper
return draw(artist, renderer, *args, **kwargs)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/axes/_base.py", line 2635, in draw
mimage._draw_list_compositing_images(renderer, self, artists)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/image.py", line 141, in _draw_list_compositing_images
a.draw(renderer)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/artist.py", line 55, in draw_wrapper
return draw(artist, renderer, *args, **kwargs)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/legend.py", line 775, in draw
bbox = self._legend_box.get_window_extent(renderer)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/offsetbox.py", line 266, in get_window_extent
w, h, xd, yd, offsets = self.get_extent_offsets(renderer)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/offsetbox.py", line 388, in get_extent_offsets
for c in self.get_visible_children()]
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/offsetbox.py", line 259, in get_extent
w, h, xd, yd, offsets = self.get_extent_offsets(renderer)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/offsetbox.py", line 458, in get_extent_offsets
for c in self.get_visible_children()]
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/offsetbox.py", line 259, in get_extent
w, h, xd, yd, offsets = self.get_extent_offsets(renderer)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/offsetbox.py", line 388, in get_extent_offsets
for c in self.get_visible_children()]
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/offsetbox.py", line 259, in get_extent
w, h, xd, yd, offsets = self.get_extent_offsets(renderer)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/offsetbox.py", line 458, in get_extent_offsets
for c in self.get_visible_children()]
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/offsetbox.py", line 831, in get_extent
bbox, info, d = self._text._get_layout(renderer)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/text.py", line 309, in _get_layout
ismath=ismath)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/backends/backend_agg.py", line 236, in get_text_width_height_descent
s, fontsize, renderer=self)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/texmanager.py", line 501, in get_text_width_height_descent
dvifile = self.make_dvi(tex, fontsize)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/texmanager.py", line 362, in make_dvi
with Locked(self.texcache):
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/cbook/__init__.py", line 2529, in __enter__
raise self.TimeoutError(err_str)
TimeoutError: LOCKERROR: matplotlib is trying to acquire the lock
'/Users/lester/.matplotlib/tex.cache/.matplotlib_lock-*'
and has failed. This maybe due to any other process holding this
lock. If you are sure no other matplotlib process is running try
removing these folders and trying again.
<Figure size 576x576 with 4 Axes>
/Users/lester/Documents/GitHub/kelly_model/scenario29/update_GBeagle_fix/true_constant_alpha/mass_sfr_z_correction/alpha_beta_covprop/random_start_gmm/random_start/bad_gmm_cuts/kelly_MH_GMM_3d_Hogg_constant_beta_constant_alpha.py:1186: RuntimeWarning: divide by zero encountered in log
prob_arr[j] = np.log(self.piBeagle[i,j])+multivariate_normal.logpdf(values,mean,cov)
Traceback (most recent call last):
File "/opt/anaconda2/lib/python2.7/site-packages/IPython/core/formatters.py", line 334, in __call__
return printer(obj)
File "/opt/anaconda2/lib/python2.7/site-packages/IPython/core/pylabtools.py", line 247, in <lambda>
png_formatter.for_type(Figure, lambda fig: print_figure(fig, 'png', **kwargs))
File "/opt/anaconda2/lib/python2.7/site-packages/IPython/core/pylabtools.py", line 131, in print_figure
fig.canvas.print_figure(bytes_io, **kw)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/backend_bases.py", line 2212, in print_figure
**kwargs)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/backends/backend_agg.py", line 517, in print_png
FigureCanvasAgg.draw(self)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/backends/backend_agg.py", line 437, in draw
self.figure.draw(self.renderer)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/artist.py", line 55, in draw_wrapper
return draw(artist, renderer, *args, **kwargs)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/figure.py", line 1493, in draw
renderer, self, artists, self.suppressComposite)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/image.py", line 141, in _draw_list_compositing_images
a.draw(renderer)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/artist.py", line 55, in draw_wrapper
return draw(artist, renderer, *args, **kwargs)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/axes/_base.py", line 2635, in draw
mimage._draw_list_compositing_images(renderer, self, artists)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/image.py", line 141, in _draw_list_compositing_images
a.draw(renderer)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/artist.py", line 55, in draw_wrapper
return draw(artist, renderer, *args, **kwargs)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/legend.py", line 775, in draw
bbox = self._legend_box.get_window_extent(renderer)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/offsetbox.py", line 266, in get_window_extent
w, h, xd, yd, offsets = self.get_extent_offsets(renderer)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/offsetbox.py", line 388, in get_extent_offsets
for c in self.get_visible_children()]
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/offsetbox.py", line 259, in get_extent
w, h, xd, yd, offsets = self.get_extent_offsets(renderer)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/offsetbox.py", line 458, in get_extent_offsets
for c in self.get_visible_children()]
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/offsetbox.py", line 259, in get_extent
w, h, xd, yd, offsets = self.get_extent_offsets(renderer)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/offsetbox.py", line 388, in get_extent_offsets
for c in self.get_visible_children()]
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/offsetbox.py", line 259, in get_extent
w, h, xd, yd, offsets = self.get_extent_offsets(renderer)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/offsetbox.py", line 458, in get_extent_offsets
for c in self.get_visible_children()]
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/offsetbox.py", line 831, in get_extent
bbox, info, d = self._text._get_layout(renderer)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/text.py", line 309, in _get_layout
ismath=ismath)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/backends/backend_agg.py", line 236, in get_text_width_height_descent
s, fontsize, renderer=self)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/texmanager.py", line 501, in get_text_width_height_descent
dvifile = self.make_dvi(tex, fontsize)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/texmanager.py", line 362, in make_dvi
with Locked(self.texcache):
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/cbook/__init__.py", line 2529, in __enter__
raise self.TimeoutError(err_str)
TimeoutError: LOCKERROR: matplotlib is trying to acquire the lock
'/Users/lester/.matplotlib/tex.cache/.matplotlib_lock-*'
and has failed. This maybe due to any other process holding this
lock. If you are sure no other matplotlib process is running try
removing these folders and trying again.
<Figure size 576x576 with 4 Axes>
/Users/lester/Documents/GitHub/kelly_model/scenario29/update_GBeagle_fix/true_constant_alpha/mass_sfr_z_correction/alpha_beta_covprop/random_start_gmm/random_start/bad_gmm_cuts/kelly_MH_GMM_3d_Hogg_constant_beta_constant_alpha.py:1186: RuntimeWarning: divide by zero encountered in log
prob_arr[j] = np.log(self.piBeagle[i,j])+multivariate_normal.logpdf(values,mean,cov)
Traceback (most recent call last):
File "/opt/anaconda2/lib/python2.7/site-packages/IPython/core/formatters.py", line 334, in __call__
return printer(obj)
File "/opt/anaconda2/lib/python2.7/site-packages/IPython/core/pylabtools.py", line 247, in <lambda>
png_formatter.for_type(Figure, lambda fig: print_figure(fig, 'png', **kwargs))
File "/opt/anaconda2/lib/python2.7/site-packages/IPython/core/pylabtools.py", line 131, in print_figure
fig.canvas.print_figure(bytes_io, **kw)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/backend_bases.py", line 2212, in print_figure
**kwargs)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/backends/backend_agg.py", line 517, in print_png
FigureCanvasAgg.draw(self)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/backends/backend_agg.py", line 437, in draw
self.figure.draw(self.renderer)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/artist.py", line 55, in draw_wrapper
return draw(artist, renderer, *args, **kwargs)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/figure.py", line 1493, in draw
renderer, self, artists, self.suppressComposite)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/image.py", line 141, in _draw_list_compositing_images
a.draw(renderer)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/artist.py", line 55, in draw_wrapper
return draw(artist, renderer, *args, **kwargs)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/axes/_base.py", line 2635, in draw
mimage._draw_list_compositing_images(renderer, self, artists)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/image.py", line 141, in _draw_list_compositing_images
a.draw(renderer)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/artist.py", line 55, in draw_wrapper
return draw(artist, renderer, *args, **kwargs)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/legend.py", line 775, in draw
bbox = self._legend_box.get_window_extent(renderer)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/offsetbox.py", line 266, in get_window_extent
w, h, xd, yd, offsets = self.get_extent_offsets(renderer)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/offsetbox.py", line 388, in get_extent_offsets
for c in self.get_visible_children()]
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/offsetbox.py", line 259, in get_extent
w, h, xd, yd, offsets = self.get_extent_offsets(renderer)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/offsetbox.py", line 458, in get_extent_offsets
for c in self.get_visible_children()]
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/offsetbox.py", line 259, in get_extent
w, h, xd, yd, offsets = self.get_extent_offsets(renderer)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/offsetbox.py", line 388, in get_extent_offsets
for c in self.get_visible_children()]
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/offsetbox.py", line 259, in get_extent
w, h, xd, yd, offsets = self.get_extent_offsets(renderer)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/offsetbox.py", line 458, in get_extent_offsets
for c in self.get_visible_children()]
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/offsetbox.py", line 831, in get_extent
bbox, info, d = self._text._get_layout(renderer)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/text.py", line 309, in _get_layout
ismath=ismath)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/backends/backend_agg.py", line 236, in get_text_width_height_descent
s, fontsize, renderer=self)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/texmanager.py", line 501, in get_text_width_height_descent
dvifile = self.make_dvi(tex, fontsize)
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/texmanager.py", line 362, in make_dvi
with Locked(self.texcache):
File "/opt/anaconda2/lib/python2.7/site-packages/matplotlib/cbook/__init__.py", line 2529, in __enter__
raise self.TimeoutError(err_str)
TimeoutError: LOCKERROR: matplotlib is trying to acquire the lock
'/Users/lester/.matplotlib/tex.cache/.matplotlib_lock-*'
and has failed. This maybe due to any other process holding this
lock. If you are sure no other matplotlib process is running try
removing these folders and trying again.
<Figure size 576x576 with 4 Axes>
/Users/lester/Documents/GitHub/kelly_model/scenario29/update_GBeagle_fix/true_constant_alpha/mass_sfr_z_correction/alpha_beta_covprop/random_start_gmm/random_start/bad_gmm_cuts/kelly_MH_GMM_3d_Hogg_constant_beta_constant_alpha.py:1186: RuntimeWarning: divide by zero encountered in log
prob_arr[j] = np.log(self.piBeagle[i,j])+multivariate_normal.logpdf(values,mean,cov)
zeta acceptanceProb 0 1 151 -1149.3205415190819 5.256798295916177 0.0
zeta acceptanceProb 0 1 151 -1527.251403582551 2.6232609466971573 0.0
zeta acceptanceProb 0 1 365 -1141.736642891423 3.5915707086861435 0.0
zeta acceptanceProb 0 2 151 -1089.5087801237783 5.354463520312203 0.0
zeta acceptanceProb 0 3 33 -1228.7005424040785 1.9359720201622928 0.0
zeta acceptanceProb 0 3 151 -913.0405793619202 5.152064954828695 0.0
zeta acceptanceProb 0 4 151 -2792.8482006035847 5.200691745072928 0.0
zeta acceptanceProb 0 5 168 -1125.9757450118213 3.7108211811253273 0.0
zeta acceptanceProb 0 6 151 -4500.5574571404095 5.567177296737758 0.0
zeta acceptanceProb 0 6 168 -1333.4032144027522 4.626387243966601 0.0
xi acceptanceProb 0 7 160 -840.2992821357279 0.8039412054132997 0.0
zeta acceptanceProb 0 7 33 -2939.9988735645816 2.845377030994542 0.0
zeta acceptanceProb 0 7 151 -1656.6302123350408 3.6564990930167114 0.0
zeta acceptanceProb 0 7 168 -823.7288786541029 5.430222592856577 0.0
/Users/lester/Documents/GitHub/kelly_model/scenario29/update_GBeagle_fix/true_constant_alpha/mass_sfr_z_correction/alpha_beta_covprop/random_start_gmm/random_start/bad_gmm_cuts/kelly_MH_GMM_3d_Hogg_constant_beta_constant_alpha.py:1186: RuntimeWarning: divide by zero encountered in log
prob_arr[j] = np.log(self.piBeagle[i,j])+multivariate_normal.logpdf(values,mean,cov)
xi acceptanceProb 0 9 160 -803.2821264988277 1.5383703857140656 0.0
zeta acceptanceProb 0 9 151 -2072.149685565119 5.502353709568709 0.0
zeta acceptanceProb 0 9 151 -2260.3402700642678 5.149149685653395 0.0
zeta acceptanceProb 0 9 365 -744.8654735456971 4.982508365897079 0.0
zeta acceptanceProb 0 2 168 -1078.7956039633996 4.424067079126646 0.0
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/opt/anaconda2/lib/python2.7/site-packages/scipy/stats/_distn_infrastructure.py:1745: RuntimeWarning: divide by zero encountered in double_scalars
x = np.asarray((x - loc)/scale, dtype=dtyp)
/opt/anaconda2/lib/python2.7/site-packages/scipy/stats/_distn_infrastructure.py:1745: RuntimeWarning: divide by zero encountered in double_scalars
x = np.asarray((x - loc)/scale, dtype=dtyp)
/opt/anaconda2/lib/python2.7/site-packages/scipy/stats/_distn_infrastructure.py:1745: RuntimeWarning: divide by zero encountered in double_scalars
x = np.asarray((x - loc)/scale, dtype=dtyp)
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/opt/anaconda2/lib/python2.7/site-packages/scipy/stats/_distn_infrastructure.py:1745: RuntimeWarning: divide by zero encountered in double_scalars
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/Users/lester/Documents/GitHub/kelly_model/scenario29/update_GBeagle_fix/true_constant_alpha/mass_sfr_z_correction/alpha_beta_covprop/random_start_gmm/random_start/bad_gmm_cuts/kelly_MH_GMM_3d_Hogg_constant_beta_constant_alpha.py:597: RuntimeWarning: divide by zero encountered in log10
scatter1 = ax1.scatter(self.xi[idx_z_bin][idx_sort], self.eta[idx_z_bin][idx_sort], c=np.log10((z_good/z_bad)[idx_sort]), cmap=mpl.cm.get_cmap('coolwarm'), alpha=1.0, vmin=-2.5, vmax=2.5, s=100)
/Users/lester/Documents/GitHub/kelly_model/scenario29/update_GBeagle_fix/true_constant_alpha/mass_sfr_z_correction/alpha_beta_covprop/random_start_gmm/random_start/bad_gmm_cuts/kelly_MH_GMM_3d_Hogg_constant_beta_constant_alpha.py:646: RuntimeWarning: divide by zero encountered in log10
scatter2 = ax2.scatter(self.xi[idx_z_bin][idx_sort], self.eta[idx_z_bin][idx_sort], c=np.log10((z_good/z_bad)[idx_sort]), cmap=mpl.cm.get_cmap('coolwarm'), alpha=1.0, vmin=-2.5, vmax=2.5, s=100)
3000 15000
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4000
4000
4000
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4000
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4500 15000
4500
4500 15000
4500
4500 15000
4500
4500 15000
4500
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5000
5000
5000
5000
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5500
5500
5500
5500
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6000 15000
6000
6000 15000
6000
6000 15000
6000
6000 15000
6000
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6500
6500
6500
6500
7000
7000
7000
7000
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7500 15000
7500
7500 15000
7500
7500 15000
7500
7500 15000
7500
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8000
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8000
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8000
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8000
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8500
8500
8500
8500
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9000 15000
9000
9000 15000
9000
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9000 15000
9000
9000 15000
9000
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9500
9500
9500
9500
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10000
10000
10000
10000
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10500 15000
10500
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10500 15000
10500
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10500 15000
zeta acceptanceProb 0 10483 33 -2056.328316291723 4.16425232042659 0.0
10500
zeta acceptanceProb 0 10484 33 -802.903024055704 4.1635944687451945 0.0
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10500 15000
10500
zeta acceptanceProb 0 10501 33 -2131.1517135239046 4.596787618611071 0.0
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11000
eta acceptanceProb 0 10988 191 -823.2567547768605 0.28642472501372573 0.0
11000
11000
11000
eta acceptanceProb 0 11286 332 -19886.371162691248 -0.5133465156850945 0.0
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11500
11500
11500
11500
zeta acceptanceProb 0 11502 298 -1475.3646200831608 -5.394563463847765 0.0
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12000 15000
12000
12000 15000
12000
12000 15000
12000
12000 15000
12000
zeta acceptanceProb 0 12006 33 -1572.0544178059606 3.1037021618884997 0.0
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12500
12500
12500
12500
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acceptanceProb_pbad 1
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acceptanceProb_pbad 1
13000
13000
13000
13000
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13500 15000
13500
13500 15000
13500
13500 15000
13500
13500 15000
13500
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14000
zeta acceptanceProb 0 13962 33 -1013.6004108238939 4.934831170159256 0.0
14000
zeta acceptanceProb 0 13972 33 -857.9662960513712 2.5513716472317283 0.0
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zeta acceptanceProb 0 13975 33 -977.6852734311306 1.2821198295163705 0.0
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eta acceptanceProb 0 14472 332 -7033.561840242373 0.02753502435207844 0.0
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14500
14500
14500
14500
zeta acceptanceProb 0 14642 33 -871.4378029716273 3.5829878708029645 0.0
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15000 15000
15000 15000
15000 15000
15000 15000
/Users/lester/Documents/GitHub/kelly_model/scenario29/update_GBeagle_fix/true_constant_alpha/mass_sfr_z_correction/alpha_beta_covprop/random_start_gmm/random_start/bad_gmm_cuts/kelly_MH_GMM_3d_Hogg_constant_beta_constant_alpha.py:1693: RuntimeWarning: invalid value encountered in double_scalars
for key in keys:
Iteration: 15000
Rhat values:
alphaN: 1.137289554301038 nan nan
beta: 1.0756846489243652 nan nan
sig0: 1.1112451104635561
k: nan
ximean: 1.0249563377082882
xivar: 0.9999793654523315
pbad: 1.0368782314927358
outlier_mean: 1.011714839972252
outlier_sigma: 1.023808100175134
_build_chain
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